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  <title>Description of democlassify</title>
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  <meta name="description" content="A demo used to test and demonstrate the usage of classifiers (clf_*)">
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<h1>democlassify
</h1>

<h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>A demo used to test and demonstrate the usage of classifiers (clf_*)</strong></div>

<h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>function democlassify </strong></div>

<h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="fragment"><pre class="comment"> A demo used to test and demonstrate the usage of classifiers (clf_*)

 DATESTAMP
   29-Sep-2005  2:00pm

 See also <a href="clf_knn.html" class="code" title="function clf = clf_knn( p, k, dist_fn )">CLF_KNN</a>, <a href="clf_lda.html" class="code" title="function clf = clf_lda( p, type, prior )">CLF_LDA</a>, <a href="clf_svm.html" class="code" title="function net = clf_svm(varargin)">CLF_SVM</a>, <a href="clf_ecoc.html" class="code" title="function clf = clf_ecoc(p,clfinit,clfparams,nclasses,use01targets)">CLF_ECOC</a></pre></div>

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<h2><a name="_cross"></a>CROSS-REFERENCE INFORMATION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
This function calls:
<ul style="list-style-image:url(../matlabicon.gif)">
<li><a href="clf_ecoc.html" class="code" title="function clf = clf_ecoc(p,clfinit,clfparams,nclasses,use01targets)">clf_ecoc</a>	Wrapper for ecoc that makes ecoc compatible with nfoldxval.</li><li><a href="clf_knn.html" class="code" title="function clf = clf_knn( p, k, dist_fn )">clf_knn</a>	Create a k nearest neighbor classifier.</li><li><a href="clf_lda.html" class="code" title="function clf = clf_lda( p, type, prior )">clf_lda</a>	Create a Linear Discriminant Analysis (LDA) classifier.</li><li><a href="clf_svm.html" class="code" title="function net = clf_svm(varargin)">clf_svm</a>	Wrapper for svm that makes svm compatible with nfoldxval.</li><li><a href="confmatrix.html" class="code" title="function CM = confmatrix( IDXtrue, IDXpred, ntypes )">confmatrix</a>	Generates a confusion matrix according to true and predicted data labels.</li><li><a href="demogendata.html" class="code" title="function [X,IDX,T,IDT] = demogendata(n,m,k,d,c,e,f)">demogendata</a>	Generate data drawn form a mixture of Gaussians.</li><li><a href="visualize_data.html" class="code" title="function visualize_data( X, k, IDX, types )">visualize_data</a>	Project high dim. data unto principal components (PCA) for visualization.</li><li><a href="../images/montage2.html" class="code" title="function varargout = montage2( IS, showlines, extrainfo, clim, mm, nn, labels )">montage2</a>	[3D] Used to display a stack of T images.</li></ul>
This function is called by:
<ul style="list-style-image:url(../matlabicon.gif)">
</ul>
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